Day of the Week Effect in Stock Returns by using Bootstrapping GARCH

Autor: سولماز صفری, فاطمه بزازان, شمس اله شیرین بخش ماسوله
Jazyk: perština
Rok vydání: 2014
Předmět:
Zdroj: پژوهش‌های تجربی حسابداری, Vol 3, Iss 4, Pp 149-160 (2014)
Druh dokumentu: article
ISSN: 2251-8509
2538-1520
DOI: 10.22051/jera.2014.612
Popis: Abstract This paper propounds to examine the impact of the day week on the return of daily stock price using entire index, in Tehran Stock Exchange market during 1383 to 1388. In the literature review, a full explanation of the models and their shortcomings are discussed and propose a simpler specification and usable model for detecting the day of the week effect on the return of daily stock price entire index in Tehran Stock Exchange market. Recognizing that residuals of linear regressions are variant over time, and auto-correlated, we apply statically robust estimation methodologies, including bootstrapping and GARCH modeling. The paper concludes that using “Bootstrapping GARCH Regression” will lead to a negative effect on the returns on Sunday and positive returns on Tuesday.
Databáze: Directory of Open Access Journals